Full NameEmailCountryPhoneZIP CodeInternational PhonePostal CodeIf you do not wish to receive updates about this program, please check this box. Otherwise, we will occasionally send you program information.

It’s not about data size.
It’s about the data’s story.

Big data is a big buzzword in the business world. But it’s a serious concept, referring to data sets so large and complex that traditional data-processing applications simply can’t handle them. That means it presents a challenge — and opportunity — for aspiring analysts.

That’s why our online Master of Business Analytics program goes beyond conventional tools and methods. It imparts the advanced analytical skills you need to dig deeper into organizational data and use it to make key business decisions.

Complete coursework 100% online

No GRE/GMAT required

Graduate in as few as 20 months

Begin the program in fall, spring, or summer

Why Choose OHIO’s Online Master of Business Analytics?

Data is vast. Consider the number of searches made on Google every hour. Think about the amount of video content posted to YouTube each day. The world generates and collects massive quantities of data every second — and we’ll teach you how to analyze it. More than that, we’ll prepare you to apply it.

Study data analytics online at Ohio University, and you can learn from some of the best and brightest in the field. Case in point: Meet Dr. William Young. He’s the director of our online Master of Business Analytics program.

Dr. Young is more than an award-winning mechanical and systems engineer. He’s a published scholar who leads research focused on descriptive, predictive, and prescriptive analytics. He has developed and deployed a variety of statistical applications and machine learning-based methodologies. This is your chance to learn from Dr. Young and other award-winning faculty at Ohio University.

The College of Business at Ohio University is consistently recognized for academic excellence. We are also accredited by the Association to Advance Collegiate Schools of Business (AACSB) — an esteemed designation that is held by less than 5% of business schools in the world. Ohio University is also regionally accredited by the Higher Learning Commission, one of six regional accreditors in the United States.

Join a university that U.S. News & World Report consistently ranks among the “Best Business Schools,” “Best Education Schools,” and “Best National Universities.”

Ohio University is praised for professor accessibility by The Princeton Review, and we are recognized by Peterson’s Competitive Colleges for academic quality and value.

What Can You Do with a Master’s in Business Analytics?

Data and technology impact every sector of the global economy: aerospace and defense, business, finance, healthcare, and hospitality, just to name a few. That means there’s a place for talented analytics professionals in nearly any organization across every industry.

Careers with the greatest growth potential are tech-focused, according to LinkedIn’s Emerging Jobs Report. Titles like data scientist, business analyst, and machine learning engineer rank among the top 20 best jobs in America right now.

Yet demand for analytics professionals continues to exceed the supply. That means there’s never been a better time to develop new skills in data science.

Earn a Master’s in Business Analytics online from OHIO, and you can gain the advanced analytics expertise to stand out in a variety of professional roles*:

Data Scientist

Average salary: $120,931

Director, Business Analytics

Average salary: $144,745

Director, Business Intelligence

Average salary: $152,145

Data Engineer

Average salary: $138,776

Manager, Business Analytics

Average salary: $110,232

Manager, Business Intelligence

Average salary: $116,539

*According to 2018 salary data collected and analyzed by glassdoor.com

Master of Business Analytics Curriculum

You don’t need to be a statistician or software expert to advance in analytics. What you do need is a deep desire to solve problems — an innate drive to reinvent the status quo. Because that’s what our coursework will challenge you to do. We’ll push you to look beyond rows of data in Excel and introduce you to more innovative analytics tools. Study with us, and you can:

Gain the skills to examine and interpret large data sets.

Learn to use a variety of advanced analysis tools, techniques, and methodologies.

Use data to identify business trends and solve complex organizational challenges.

Create unique data models and databases to support business solutions.

Data analysis is rapidly becoming a required skill set for today’s managers in competitive environments. As a decision-maker in business, you are likely to be asked to conduct your own analysis of data or to interpret a report that has been derived by others. In this course, you will have the opportunity to learn how to summarize, visualize, and manage data within software environments that are commonly used in business today. Additionally, techniques that help decision-makers reduce risk and identify opportunities that would provide an individual or a company with a competitive advantage will be reviewed.

MBA 6390

Predictive Analytics

3 Credits

Predictive analytics encompasses a variety of statistical and machine learning techniques and applications within a business environment. The primary goal of predictive analytics is to discover and apply relationships found within historic datasets to make predictions about the future or otherwise unknown events. In this hands-on course, students will be introduced to concepts related to constructing, testing, and applying quantitative models in various business settings. From this perspective, students will utilize major software tools to conduct an analysis of continuous, classification, and clustering models. Upon completion of this course, students will gain insight into how models are constructed and how predictive models can improve business.

MBA 6360

Strategic Use of Information

3 Credits

Information systems have always been a critical component of the successful operation and management of organizations. Today, modern information systems are pervasive, and knowledge of how they integrate into businesses to enhance strategies and processes is essential for all positions and functional areas. Advances in digital technologies have resulted in the development of information systems that are radically transforming the nature of managerial work, the structure of organizations, and the way firms operate and compete in the marketplace. Managers must, therefore, have a solid understanding of information technology, its organizational role, and strategic implications. Regardless of your profession or position, you have little choice but to accept and assume responsibility for the innovative and effective use of information technology to enhance your organization's performance. This course is designed to provide the fundamentals necessary to begin this process.

MBA 6395

Data Management, Business Intelligence & Analytics

3 Credits

This course provides a broad overview of business intelligence and data management including database fundamentals, business intelligence approaches, data management/data governance strategies, data mining, and other business/data analytics techniques. Our primary emphasis will be on the managerial perspective, focusing on how you can design, implement, and leverage business intelligence systems and strategies in a management role.

MBA 6385

Programming for Analytics

3 Credits

In this course, students will be introduced to programming concepts that are used in business analytics. Understanding the fundamentals of programming is an essential skill set to implement solutions that are commonly needed in business practices. Common scenarios include the automation of processing data sets, applying methods, and combining techniques for creating solutions to solve business problems.

MBA 6325

Prescriptive Analytics

3 Credits

Some refer to analytics as the new science of winning. It refers to a commitment by top management to the extensive use of data, statistical and quantitative analysis, explanatory and predictive models and fact-based management to drive decisions and actions. This course provides an introduction to analytics and covers spreadsheet modeling for decision-making. It employs techniques from the classical disciplines of statistics and operations research, as well as more recently developed methodologies: data mining, executive information systems, digital dashboards, and online analytical processing. You will be expected to master, at an introductory level, techniques that are at the heart of the competitive posture of many successful organizations.

MBA 6495

Data Management, Business Intelligence and Analytics II

3 Credits

Data is often either structured or unstructured. Unstructured data presents a challenge because standard techniques commonly used in business analytics cannot be used to discover meaningful patterns, relationships, and other insights that could be useful when solving business problems. In this course, students will learn advanced techniques while using software that is commonly used in practice to overcome the problems associated with unstructured data.

MBA 6490

Predictive Analytics II

3 Credits

This course requires students to apply advanced software tools that are commonly used in businesses for advanced modeling practices and visualization techniques. In particular, students will explore advanced techniques for pre- and post-processing datasets. Students will apply advanced visualization techniques to understand the data that they are investigating and to enhance their ability to communicate the results and implications of predictive models. Students are expected to demonstrate the skills learned in this class with a course project. The course project not only allows a student to improve problem-solving skills, but it can also enhance the students’ ability to communicate their findings and recommendations in a business context.

MBA 6625

Strategic Use of Analytics

3 Credits

This course will provide students with the opportunity to learn more about how business analytics is being used in a variety of workplaces. The course will have a strategic and managerial focus where students will analyze many business cases. These cases will challenge students in their ability to critically evaluate the implications of business analytics.

MBA 6912

Applied Business Experience (CAPSIM)

2 Credits

In this course, students will work in teams and apply course material to complete simulated business experience. In this simulation, the teams each run a fictitious firm. They will define a business problem to address, assess the organization and its context, suggest solutions, and deliver an action plan for implementing the solution. Teams compete with one another in a dynamic industry environment. This provides an opportunity to apply many of the concepts learned throughout the program.

MBA 6924

Analytics Practicum

1 Credit

The analytics practicum provides opportunities to apply techniques, applications, concepts, and models from prior coursework in the MBA program to support decision-making under uncertainty in a simulated competitive business environment. Data that is generated from each student’s work during the concurrent MBA 6912: Applied Business Experience course will be used to complete a set of sequential assignments. Students will have the option of using results of each assignment for decision-making in the MBA 6912 course. Upon completion of the two courses, students will have been exposed to the outcomes of their strategic and tactical approaches to managing a type of manufacturing business.

About Ohio University

Founded in 1804, Ohio University is the ninth oldest public university in the United States. Located in Athens, Ohio, the school serves more than 35,000 students on the 1,850-acre campus, and online. This esteemed institution is ranked by numerous publications, such as The Princeton Review, U.S. News & World Report, Business Week, as one of the best education forces and academic values in the country. Ohio University offers a variety of programs across 10 different colleges, including 250 bachelor’s programs, 188 master’s programs and 58 doctoral programs. Ohio University is regionally accredited by the North Central Association of Colleges and Schools.

Ohio University has a long-standing reputation for excellence based on the quality of its programs, faculty and alumni. If you are a professional who strives to align with one of the best, you need look no further than the esteemed on-campus and online programs offered at Ohio University.

X

Computer Requirements

Getting Up and Running
To get started in our online program, you’ll need a computer system and webcam with current specifications. Ohio University’s online degree programs use a learning management system called Blackboard. Please check below for more technology requirements.

1. Must have Microsoft Office 2010 (Must have Excel 2010 or higher for the PC).
2. Must have high speed connection. Mozilla Firefox is the required browser; Internet Explorer should not be used as a web browser.
3. Must have a webcam, headset, and a USB microphone.

Note: If you are a MAC user, due to compatibility issues, you will need to purchase additional software so you can run the PC version of Microsoft Excel 2010 or higher. One of the easiest ways to run Microsoft Excel 2010 or higher for the PC on your Mac is to purchase and install VMware Fusion 4 (~$36) for the Mac OS/X. VMware Fusion 4 will allow you to run a dual boot setup on your Mac computer. Thus, you will be able to choose to boot into your Mac OS/X or Windows OS. Thus, once you have installed VMware Fusion 4, you will be able to install Windows 7 ($70) and then install Office 2010 for the PC (~$70).

Hardware and Software Downloads
Ohio University provides free virus protection software for student computers and also Windows and Macintosh versions of Microsoft Office to students at a very reasonable price. Other software requirements include: Microsoft Office 2007 including Word, Excel, and Power Point, the Minitab Statistics Package -16th version, and Remote Proctor Now, which is used twice per term for midterms and finals. Please visit http://www.ohio.edu/oit/techdepot/software/student_name.cfm for more information about this software. If you have further questions please contact the Tech Depot at 740-597-DEPO (3376) or techdepot@ohio.edu.
Hardware and Software DownloadsOhio University provides free virus protection software for students, here. Note: Please ensure any other antivirus software has been uninstalled from your computer before installing.

Browser Configuration and Connection Speed
Once you have ensured that your computer has the proper operating system and hardware to run Blackboard, you should verify that your Internet connection is fast enough to support Blackboard and your browser is compatible. You can check your browser compatibility at http://bbsupport.ohio.edu/browser-checker-for-bb9/. You can check your Internet connection download and upload speeds using the connection speed test athttp://www.pcpitstop.com/internet/bw.asp. If your Internet connection is at least 0.2 Mbps, you will still be able to use Blackboard. However, be prepared for slower page loads, choppy audio and video, and longer file uploads.

Blackboard, OHIO ID, Proctoring, and Email Support
If you are experiencing any issues with Blackboard, your OHIO ID, Remote Proctor Now, or your Ohio University email address, please visit the following support links for help: